Cheng Shan, Sun Jicheng, Ma Jin, Dang Weitao, Tang Mengjun, Hui Duoduo, Zhang Lili, Hu Wendong
Aerosp Med Hum Perform. 2018 Nov 1;89(11):961-966. doi: 10.3357/AMHP.5128.2018.
Postural control is adversely affected by mental and physical fatigue, but its validity in fatigue assessment has not been investigated systemically among pilots. We explored the correlations of posturographic balance with physiological and psychological signals among cadet pilots. In experiment 1, 37 cadet pilots performed a posturographic balance test, heart rate variability (HRV), and profile of mood states (POMS) during 40 h of sleep deprivation. For experiment 2, physiological signals of 60 subjects, including breathing rate (BR), systolic blood pressure (SBP), and heart rate (HR) were measured under the effects of physical fatigue. Then correlations with a mental and physical fatigue index based on effective posturographic parameters with those subjective and objective methods were analyzed by linear regression. The mental fatigue index correlated linearly with the depression score of the POMS (r = 0.212), standard deviation of normal to normal beats (r = 0.286), and square root of the mean differences of successive beat intervals (r = 0.207). Meanwhile, linear correlations with frequency-domain parameters of HRV such as total power, low frequency power, and high frequency power were also statistically significant. With the increase in the physical fatigue index, physiological signals such as SBP (r = 0.300), HR (r = 0.349), and BR (r = 0.266) increased linearly. Impairment of postural stability can reflect the aggravation of mental and physical fatigue among cadet pilots, which provides a potential method for assessing fatigue level before flight tasks and preventing errors by pilots.
姿势控制会受到精神和身体疲劳的不利影响,但在飞行员中,其在疲劳评估中的有效性尚未得到系统研究。我们探讨了飞行学员生理和心理信号与姿势描记平衡之间的相关性。在实验1中,37名飞行学员在40小时睡眠剥夺期间进行了姿势描记平衡测试、心率变异性(HRV)和情绪状态剖面图(POMS)测试。在实验2中,测量了60名受试者在身体疲劳影响下的生理信号,包括呼吸频率(BR)、收缩压(SBP)和心率(HR)。然后通过线性回归分析基于有效姿势描记参数的精神和身体疲劳指数与那些主观和客观方法之间的相关性。精神疲劳指数与POMS的抑郁评分(r = 0.212)、正常到正常心跳的标准差(r = 0.286)以及连续心跳间期平均差异的平方根(r = 0.207)呈线性相关。同时,与HRV的频域参数如总功率、低频功率和高频功率的线性相关性也具有统计学意义。随着身体疲劳指数的增加,SBP(r = 0.300)、HR(r = 0.349)和BR(r = 0.266)等生理信号呈线性增加。姿势稳定性受损可反映飞行学员精神和身体疲劳的加重,这为飞行任务前评估疲劳程度和预防飞行员失误提供了一种潜在方法。